B.M. Mackey

6.2k total citations
87 papers, 4.7k citations indexed

About

B.M. Mackey is a scholar working on Biotechnology, Food Science and Molecular Biology. According to data from OpenAlex, B.M. Mackey has authored 87 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Biotechnology, 33 papers in Food Science and 29 papers in Molecular Biology. Recurrent topics in B.M. Mackey's work include Listeria monocytogenes in Food Safety (49 papers), Microbial Inactivation Methods (40 papers) and Salmonella and Campylobacter epidemiology (15 papers). B.M. Mackey is often cited by papers focused on Listeria monocytogenes in Food Safety (49 papers), Microbial Inactivation Methods (40 papers) and Salmonella and Campylobacter epidemiology (15 papers). B.M. Mackey collaborates with scholars based in United Kingdom, Spain and Italy. B.M. Mackey's co-authors include Christine M. Derrick, Rafael Pagán, P. Mañas, R.H. Dainty, Jamie Shallcross, Christopher A. Miles, C. I. Masters, Maria Antonietta Casadei, Amparo de Benito and Tobin Robinson and has published in prestigious journals such as Applied and Environmental Microbiology, FEBS Letters and Food Research International.

In The Last Decade

B.M. Mackey

86 papers receiving 4.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B.M. Mackey United Kingdom 40 2.6k 2.1k 1.2k 667 529 87 4.7k
Michael W. Peck United Kingdom 39 1.6k 0.6× 1.1k 0.5× 1.1k 0.9× 357 0.5× 545 1.0× 120 4.9k
Janet E.L. Corry United Kingdom 33 1.2k 0.5× 2.5k 1.2× 821 0.7× 740 1.1× 333 0.6× 87 3.8k
Kieran Jordan Ireland 36 2.3k 0.9× 3.3k 1.6× 1.4k 1.1× 380 0.6× 503 1.0× 144 4.7k
Sophia Kathariou United States 43 4.0k 1.5× 4.0k 1.9× 1.4k 1.1× 328 0.5× 468 0.9× 169 6.3k
S. Notermans Netherlands 37 1.5k 0.6× 1.8k 0.8× 980 0.8× 370 0.6× 343 0.6× 124 3.6k
Carmen Pin United Kingdom 34 1.0k 0.4× 1.3k 0.6× 1.1k 0.9× 840 1.3× 261 0.5× 89 4.0k
Thomas J. Montville United States 42 2.1k 0.8× 5.0k 2.4× 2.8k 2.3× 997 1.5× 303 0.6× 124 7.1k
Francisco Diez‐Gonzalez United States 36 1.2k 0.5× 1.6k 0.8× 999 0.8× 285 0.4× 759 1.4× 111 3.7k
Richard C. Whiting United States 38 2.8k 1.1× 2.6k 1.2× 593 0.5× 873 1.3× 311 0.6× 96 4.4k
Michel Hébraud France 36 1.5k 0.6× 1.5k 0.7× 2.7k 2.1× 242 0.4× 522 1.0× 96 5.1k

Countries citing papers authored by B.M. Mackey

Since Specialization
Citations

This map shows the geographic impact of B.M. Mackey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by B.M. Mackey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B.M. Mackey more than expected).

Fields of papers citing papers by B.M. Mackey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.M. Mackey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by B.M. Mackey. The network helps show where B.M. Mackey may publish in the future.

Co-authorship network of co-authors of B.M. Mackey

This figure shows the co-authorship network connecting the top 25 collaborators of B.M. Mackey. A scholar is included among the top collaborators of B.M. Mackey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with B.M. Mackey. B.M. Mackey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mackey, B.M., et al.. (2017). High Phenotypic Variability among Representative Strains of Common Salmonella enterica Serovars with Possible Implications for Food Safety. Journal of Food Protection. 81(1). 93–104. 12 indexed citations
2.
Jarvis, Basil, et al.. (2010). The inhibitory effect of natural microflora of food on growth of Listeria monocytogenes in enrichment broths. International Journal of Food Microbiology. 145(1). 98–105. 55 indexed citations
3.
Somolinos, M., et al.. (2009). Inactivation ofEscherichia coliby citral. Journal of Applied Microbiology. 108(6). 1928–1939. 145 indexed citations
4.
Klotz, Bernadette, P. Mañas, & B.M. Mackey. (2009). The relationship between membrane damage, release of protein and loss of viability in Escherichia coli exposed to high hydrostatic pressure. International Journal of Food Microbiology. 137(2-3). 214–220. 57 indexed citations
5.
6.
Niven, Gordon W., et al.. (2005). A novel method for measuring lag times in division of individual bacterial cells using image analysis. Journal of Microbiological Methods. 65(2). 311–317. 19 indexed citations
7.
Martínez-Rodríguez, Adolfo J. & B.M. Mackey. (2004). Physiological changes in Campylobacter jejuni on entry into stationary phase. International Journal of Food Microbiology. 101(1). 1–8. 28 indexed citations
8.
Jordan, Sarah L., et al.. (2001). Inactivation and injury of pressure-resistant strains of Escherichia coli O157 and Listeria monocytogenes in fruit juices. Journal of Applied Microbiology. 91(3). 463–469. 115 indexed citations
10.
Szabo, Elizabeth & B.M. Mackey. (1999). Detection of Salmonella enteritidis by reverse transcription-polymerase chain reaction (PCR). International Journal of Food Microbiology. 51(2-3). 113–122. 39 indexed citations
11.
Casadei, Maria Antonietta & B.M. Mackey. (1997). Effect of centrifugation on the pressure resistance of exponential phase cells of Escherichia coli 8164. Letters in Applied Microbiology. 25(6). 397–400. 4 indexed citations
12.
Robinson, Tobin, et al.. (1997). The use of ethidium bromide to assess a novel injury/recovery phenomenon in Listeria monocytogenes in inhibitory NaCl conditions. Letters in Applied Microbiology. 25(5). 367–370. 6 indexed citations
13.
Mackey, B.M., et al.. (1996). Rapid physicochemical detachment, separation and concentration of bacteria from beef surfaces. Journal of Applied Bacteriology. 80(6). 673–681. 19 indexed citations
14.
Miles, Christopher A., Michael Morley, W R Hudson, & B.M. Mackey. (1995). Principles of separating micro‐organisms from suspensions using ultrasound. Journal of Applied Bacteriology. 78(1). 47–54. 46 indexed citations
15.
Roberts, T.A., et al.. (1994). Computer aided microbial safety design of food processes. International Journal of Food Microbiology. 24(1-2). 1–9. 15 indexed citations
16.
Dainty, R.H. & B.M. Mackey. (1992). The relationship between the phenotypic properties of bacteria from chill‐stored meat and spoilage processes. Journal of Applied Bacteriology. 73(s21). 103S–14S. 275 indexed citations
17.
Mackey, B.M., et al.. (1991). Thermal denaturation of whole cells and cell components of Escherichia coli examined by differential scanning calorimetry. Journal of General Microbiology. 137(10). 2361–2374. 120 indexed citations
18.
Mackey, B.M. & Christine M. Derrick. (1990). Heat shock protein synthesis and thermotolerance in Salmonella typhimurium. Journal of Applied Bacteriology. 69(3). 373–383. 58 indexed citations
19.
Mackey, B.M., et al.. (1990). Heat resistance of Listeria: strain differences and effects of meat type and curing salts. Letters in Applied Microbiology. 10(6). 251–255. 65 indexed citations
20.
Mackey, B.M., et al.. (1988). The effect of incubation temperature and inoculum size on growth of salmonellae in minced beef. International Journal of Food Microbiology. 6(1). 57–65. 84 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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